Overview

Brought to you by YData

Dataset statistics

Number of variables30
Number of observations30000
Missing cells339762
Missing cells (%)37.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 MiB
Average record size in memory240.0 B

Variable types

Text2
Categorical1
DateTime1
Numeric26

Alerts

continent is highly overall correlated with weekly_hosp_admissions and 3 other fieldsHigh correlation
hosp_patients is highly overall correlated with hosp_patients_per_million and 21 other fieldsHigh correlation
hosp_patients_per_million is highly overall correlated with hosp_patients and 18 other fieldsHigh correlation
icu_patients is highly overall correlated with hosp_patients and 21 other fieldsHigh correlation
icu_patients_per_million is highly overall correlated with hosp_patients and 18 other fieldsHigh correlation
new_cases is highly overall correlated with hosp_patients and 21 other fieldsHigh correlation
new_cases_per_million is highly overall correlated with hosp_patients and 22 other fieldsHigh correlation
new_cases_smoothed is highly overall correlated with hosp_patients and 21 other fieldsHigh correlation
new_cases_smoothed_per_million is highly overall correlated with hosp_patients and 22 other fieldsHigh correlation
new_deaths is highly overall correlated with hosp_patients and 19 other fieldsHigh correlation
new_deaths_per_million is highly overall correlated with hosp_patients and 18 other fieldsHigh correlation
new_deaths_smoothed is highly overall correlated with hosp_patients and 21 other fieldsHigh correlation
new_deaths_smoothed_per_million is highly overall correlated with hosp_patients and 18 other fieldsHigh correlation
new_tests is highly overall correlated with hosp_patients and 18 other fieldsHigh correlation
new_tests_per_thousand is highly overall correlated with new_cases_per_million and 7 other fieldsHigh correlation
new_tests_smoothed is highly overall correlated with hosp_patients and 18 other fieldsHigh correlation
total_cases is highly overall correlated with hosp_patients and 21 other fieldsHigh correlation
total_cases_per_million is highly overall correlated with hosp_patients and 21 other fieldsHigh correlation
total_deaths is highly overall correlated with hosp_patients and 19 other fieldsHigh correlation
total_deaths_per_million is highly overall correlated with hosp_patients and 23 other fieldsHigh correlation
total_tests is highly overall correlated with hosp_patients and 17 other fieldsHigh correlation
total_tests_per_thousand is highly overall correlated with new_cases_per_million and 8 other fieldsHigh correlation
weekly_hosp_admissions is highly overall correlated with continent and 22 other fieldsHigh correlation
weekly_hosp_admissions_per_million is highly overall correlated with continent and 18 other fieldsHigh correlation
weekly_icu_admissions is highly overall correlated with continent and 19 other fieldsHigh correlation
weekly_icu_admissions_per_million is highly overall correlated with continent and 22 other fieldsHigh correlation
continent has 1836 (6.1%) missing values Missing
total_cases has 695 (2.3%) missing values Missing
new_cases has 693 (2.3%) missing values Missing
new_cases_smoothed has 1046 (3.5%) missing values Missing
total_deaths has 3494 (11.6%) missing values Missing
new_deaths has 3425 (11.4%) missing values Missing
new_deaths_smoothed has 1046 (3.5%) missing values Missing
total_cases_per_million has 695 (2.3%) missing values Missing
new_cases_per_million has 693 (2.3%) missing values Missing
new_cases_smoothed_per_million has 1046 (3.5%) missing values Missing
total_deaths_per_million has 3494 (11.6%) missing values Missing
new_deaths_per_million has 3425 (11.4%) missing values Missing
new_deaths_smoothed_per_million has 1046 (3.5%) missing values Missing
reproduction_rate has 5859 (19.5%) missing values Missing
icu_patients has 25716 (85.7%) missing values Missing
icu_patients_per_million has 25716 (85.7%) missing values Missing
hosp_patients has 25739 (85.8%) missing values Missing
hosp_patients_per_million has 25739 (85.8%) missing values Missing
weekly_icu_admissions has 29796 (99.3%) missing values Missing
weekly_icu_admissions_per_million has 29796 (99.3%) missing values Missing
weekly_hosp_admissions has 29523 (98.4%) missing values Missing
weekly_hosp_admissions_per_million has 29523 (98.4%) missing values Missing
new_tests has 18053 (60.2%) missing values Missing
total_tests has 18690 (62.3%) missing values Missing
total_tests_per_thousand has 18690 (62.3%) missing values Missing
new_tests_per_thousand has 18053 (60.2%) missing values Missing
new_tests_smoothed has 16235 (54.1%) missing values Missing
new_tests is highly skewed (γ1 = 102.2882637) Skewed
new_tests_per_thousand is highly skewed (γ1 = 99.66245554) Skewed
new_tests_smoothed is highly skewed (γ1 = 25.44904557) Skewed
new_cases has 6325 (21.1%) zeros Zeros
new_cases_smoothed has 1268 (4.2%) zeros Zeros
new_deaths has 10716 (35.7%) zeros Zeros
new_deaths_smoothed has 7752 (25.8%) zeros Zeros
new_cases_per_million has 6325 (21.1%) zeros Zeros
new_cases_smoothed_per_million has 1279 (4.3%) zeros Zeros
new_deaths_per_million has 10718 (35.7%) zeros Zeros
new_deaths_smoothed_per_million has 7913 (26.4%) zeros Zeros

Reproduction

Analysis started2025-02-08 07:12:53.944247
Analysis finished2025-02-08 07:13:34.037519
Duration40.09 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

Distinct77
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:34.152650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.306
Min length3

Characters and Unicode

Total characters99180
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAFG
2nd rowAFG
3rd rowAFG
4th rowAFG
5th rowAFG
ValueCountFrequency (%)
arg 486
 
1.6%
owid_asi 465
 
1.6%
chn 465
 
1.6%
owid_eur 464
 
1.5%
owid_eun 464
 
1.5%
fra 463
 
1.5%
aus 461
 
1.5%
can 461
 
1.5%
deu 460
 
1.5%
khm 460
 
1.5%
Other values (67) 25351
84.5%
2025-02-08T12:43:34.302667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 9327
 
9.4%
A 9269
 
9.3%
C 7305
 
7.4%
R 6588
 
6.6%
D 6490
 
6.5%
I 5764
 
5.8%
E 5652
 
5.7%
O 5220
 
5.3%
G 5105
 
5.1%
N 4389
 
4.4%
Other values (16) 34071
34.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 99180
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B 9327
 
9.4%
A 9269
 
9.3%
C 7305
 
7.4%
R 6588
 
6.6%
D 6490
 
6.5%
I 5764
 
5.8%
E 5652
 
5.7%
O 5220
 
5.3%
G 5105
 
5.1%
N 4389
 
4.4%
Other values (16) 34071
34.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 99180
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B 9327
 
9.4%
A 9269
 
9.3%
C 7305
 
7.4%
R 6588
 
6.6%
D 6490
 
6.5%
I 5764
 
5.8%
E 5652
 
5.7%
O 5220
 
5.3%
G 5105
 
5.1%
N 4389
 
4.4%
Other values (16) 34071
34.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 99180
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B 9327
 
9.4%
A 9269
 
9.3%
C 7305
 
7.4%
R 6588
 
6.6%
D 6490
 
6.5%
I 5764
 
5.8%
E 5652
 
5.7%
O 5220
 
5.3%
G 5105
 
5.1%
N 4389
 
4.4%
Other values (16) 34071
34.4%

continent
Categorical

High correlation  Missing 

Distinct6
Distinct (%)< 0.1%
Missing1836
Missing (%)6.1%
Memory size234.5 KiB
Africa
9040 
Europe
6641 
North America
4552 
Asia
4334 
South America
2679 

Length

Max length13
Median length6
Mean length7.5220494
Min length4

Characters and Unicode

Total characters211851
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAsia
2nd rowAsia
3rd rowAsia
4th rowAsia
5th rowAsia

Common Values

ValueCountFrequency (%)
Africa 9040
30.1%
Europe 6641
22.1%
North America 4552
15.2%
Asia 4334
14.4%
South America 2679
 
8.9%
Oceania 918
 
3.1%
(Missing) 1836
 
6.1%

Length

2025-02-08T12:43:34.460696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-08T12:43:34.500702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
africa 9040
25.5%
america 7231
20.4%
europe 6641
18.8%
north 4552
12.9%
asia 4334
12.2%
south 2679
 
7.6%
oceania 918
 
2.6%

Most occurring characters

ValueCountFrequency (%)
r 27464
13.0%
a 22441
10.6%
i 21523
10.2%
A 20605
9.7%
c 17189
 
8.1%
e 14790
 
7.0%
o 13872
 
6.5%
u 9320
 
4.4%
f 9040
 
4.3%
7231
 
3.4%
Other values (10) 48376
22.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 211851
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r 27464
13.0%
a 22441
10.6%
i 21523
10.2%
A 20605
9.7%
c 17189
 
8.1%
e 14790
 
7.0%
o 13872
 
6.5%
u 9320
 
4.4%
f 9040
 
4.3%
7231
 
3.4%
Other values (10) 48376
22.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 211851
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r 27464
13.0%
a 22441
10.6%
i 21523
10.2%
A 20605
9.7%
c 17189
 
8.1%
e 14790
 
7.0%
o 13872
 
6.5%
u 9320
 
4.4%
f 9040
 
4.3%
7231
 
3.4%
Other values (10) 48376
22.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 211851
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r 27464
13.0%
a 22441
10.6%
i 21523
10.2%
A 20605
9.7%
c 17189
 
8.1%
e 14790
 
7.0%
o 13872
 
6.5%
u 9320
 
4.4%
f 9040
 
4.3%
7231
 
3.4%
Other values (10) 48376
22.8%
Distinct77
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:34.609698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length28
Median length22
Mean length8.5040333
Min length4

Characters and Unicode

Total characters255121
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAfghanistan
2nd rowAfghanistan
3rd rowAfghanistan
4th rowAfghanistan
5th rowAfghanistan
ValueCountFrequency (%)
republic 1254
 
3.4%
and 836
 
2.2%
congo 828
 
2.2%
argentina 486
 
1.3%
asia 465
 
1.2%
china 465
 
1.2%
europe 464
 
1.2%
union 464
 
1.2%
european 464
 
1.2%
france 463
 
1.2%
Other values (81) 31209
83.5%
2025-02-08T12:43:34.765764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 36058
 
14.1%
i 24405
 
9.6%
n 19940
 
7.8%
r 16897
 
6.6%
o 16419
 
6.4%
e 14809
 
5.8%
u 9994
 
3.9%
l 9482
 
3.7%
t 8065
 
3.2%
C 7770
 
3.0%
Other values (30) 91282
35.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 255121
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 36058
 
14.1%
i 24405
 
9.6%
n 19940
 
7.8%
r 16897
 
6.6%
o 16419
 
6.4%
e 14809
 
5.8%
u 9994
 
3.9%
l 9482
 
3.7%
t 8065
 
3.2%
C 7770
 
3.0%
Other values (30) 91282
35.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 255121
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 36058
 
14.1%
i 24405
 
9.6%
n 19940
 
7.8%
r 16897
 
6.6%
o 16419
 
6.4%
e 14809
 
5.8%
u 9994
 
3.9%
l 9482
 
3.7%
t 8065
 
3.2%
C 7770
 
3.0%
Other values (30) 91282
35.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 255121
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 36058
 
14.1%
i 24405
 
9.6%
n 19940
 
7.8%
r 16897
 
6.6%
o 16419
 
6.4%
e 14809
 
5.8%
u 9994
 
3.9%
l 9482
 
3.7%
t 8065
 
3.2%
C 7770
 
3.0%
Other values (30) 91282
35.8%

date
Date

Distinct486
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
Minimum2020-01-01 00:00:00
Maximum2021-04-30 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-02-08T12:43:34.823702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:34.888704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

total_cases
Real number (ℝ)

High correlation  Missing 

Distinct18761
Distinct (%)64.0%
Missing695
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean739707.96
Minimum1
Maximum44863478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:34.950702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q11017
median11550
Q3116200
95-th percentile2491846.2
Maximum44863478
Range44863477
Interquartile range (IQR)115183

Descriptive statistics

Standard deviation3565265.5
Coefficient of variation (CV)4.8198285
Kurtosis61.900083
Mean739707.96
Median Absolute Deviation (MAD)11512
Skewness7.4333674
Sum2.1677142 × 1010
Variance1.2711118 × 1013
MonotonicityNot monotonic
2025-02-08T12:43:35.011697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 302
 
1.0%
18 229
 
0.8%
141 119
 
0.4%
3 115
 
0.4%
16 93
 
0.3%
2 89
 
0.3%
4 79
 
0.3%
5 77
 
0.3%
15 73
 
0.2%
7 69
 
0.2%
Other values (18751) 28060
93.5%
(Missing) 695
 
2.3%
ValueCountFrequency (%)
1 302
1.0%
2 89
 
0.3%
3 115
 
0.4%
4 79
 
0.3%
5 77
 
0.3%
6 61
 
0.2%
7 69
 
0.2%
8 35
 
0.1%
9 52
 
0.2%
10 41
 
0.1%
ValueCountFrequency (%)
44863478 1
< 0.1%
44731548 1
< 0.1%
44575562 1
< 0.1%
44413760 1
< 0.1%
44263885 1
< 0.1%
44172973 1
< 0.1%
44063857 1
< 0.1%
43930132 1
< 0.1%
43758336 1
< 0.1%
43568442 1
< 0.1%

new_cases
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct6051
Distinct (%)20.6%
Missing693
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean5475.581
Minimum-46076
Maximum518375
Zeros6325
Zeros (%)21.1%
Negative24
Negative (%)0.1%
Memory size234.5 KiB
2025-02-08T12:43:35.069702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-46076
5-th percentile0
Q12
median76
Q3777
95-th percentile20278.8
Maximum518375
Range564451
Interquartile range (IQR)775

Descriptive statistics

Standard deviation25979.66
Coefficient of variation (CV)4.7446399
Kurtosis93.425306
Mean5475.581
Median Absolute Deviation (MAD)76
Skewness8.402183
Sum1.6047285 × 108
Variance6.7494273 × 108
MonotonicityNot monotonic
2025-02-08T12:43:35.127698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6325
 
21.1%
1 811
 
2.7%
2 517
 
1.7%
3 408
 
1.4%
4 322
 
1.1%
5 278
 
0.9%
6 268
 
0.9%
7 236
 
0.8%
8 218
 
0.7%
11 187
 
0.6%
Other values (6041) 19737
65.8%
(Missing) 693
 
2.3%
ValueCountFrequency (%)
-46076 1
< 0.1%
-17074 1
< 0.1%
-7953 1
< 0.1%
-3491 1
< 0.1%
-3226 1
< 0.1%
-2214 1
< 0.1%
-2001 1
< 0.1%
-1710 1
< 0.1%
-1583 1
< 0.1%
-1480 1
< 0.1%
ValueCountFrequency (%)
518375 1
< 0.1%
515222 1
< 0.1%
506677 1
< 0.1%
490007 1
< 0.1%
482745 1
< 0.1%
481331 1
< 0.1%
478685 1
< 0.1%
473738 1
< 0.1%
471579 1
< 0.1%
448580 1
< 0.1%

new_cases_smoothed
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct10746
Distinct (%)37.1%
Missing1046
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean5442.0123
Minimum-1121.714
Maximum489099.43
Zeros1268
Zeros (%)4.2%
Negative21
Negative (%)0.1%
Memory size234.5 KiB
2025-02-08T12:43:35.190702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1121.714
5-th percentile0.143
Q18.143
median90.571
Q3805.67825
95-th percentile20513.493
Maximum489099.43
Range490221.14
Interquartile range (IQR)797.53525

Descriptive statistics

Standard deviation25119.056
Coefficient of variation (CV)4.615766
Kurtosis83.71943
Mean5442.0123
Median Absolute Deviation (MAD)90.142
Skewness7.9905412
Sum1.5756803 × 108
Variance6.3096696 × 108
MonotonicityNot monotonic
2025-02-08T12:43:35.253696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1268
 
4.2%
0.143 554
 
1.8%
0.286 384
 
1.3%
0.429 327
 
1.1%
0.571 283
 
0.9%
0.714 279
 
0.9%
1 209
 
0.7%
0.857 197
 
0.7%
1.143 196
 
0.7%
1.286 185
 
0.6%
Other values (10736) 25072
83.6%
(Missing) 1046
 
3.5%
ValueCountFrequency (%)
-1121.714 1
< 0.1%
-838.714 1
< 0.1%
-697.429 1
< 0.1%
-599 1
< 0.1%
-525 1
< 0.1%
-507.429 1
< 0.1%
-470.143 1
< 0.1%
-450.571 1
< 0.1%
-349 1
< 0.1%
-338.857 1
< 0.1%
ValueCountFrequency (%)
489099.429 1
< 0.1%
483807.429 1
< 0.1%
479167.857 1
< 0.1%
474153.857 1
< 0.1%
468235.714 1
< 0.1%
462347.286 1
< 0.1%
453217 1
< 0.1%
444080.429 1
< 0.1%
430847.714 1
< 0.1%
414971 1
< 0.1%

total_deaths
Real number (ℝ)

High correlation  Missing 

Distinct8721
Distinct (%)32.9%
Missing3494
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean20109.109
Minimum1
Maximum1016750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:35.315702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q153
median337
Q33895.75
95-th percentile105286.75
Maximum1016750
Range1016749
Interquartile range (IQR)3842.75

Descriptive statistics

Standard deviation82077.042
Coefficient of variation (CV)4.0815852
Kurtosis55.521798
Mean20109.109
Median Absolute Deviation (MAD)334
Skewness6.8140038
Sum5.3301204 × 108
Variance6.7366408 × 109
MonotonicityNot monotonic
2025-02-08T12:43:35.376702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 991
 
3.3%
3 805
 
2.7%
2 736
 
2.5%
7 587
 
2.0%
63 232
 
0.8%
6 200
 
0.7%
61 188
 
0.6%
53 182
 
0.6%
4 164
 
0.5%
11 155
 
0.5%
Other values (8711) 22266
74.2%
(Missing) 3494
 
11.6%
ValueCountFrequency (%)
1 991
3.3%
2 736
2.5%
3 805
2.7%
4 164
 
0.5%
5 142
 
0.5%
6 200
 
0.7%
7 587
2.0%
8 97
 
0.3%
9 80
 
0.3%
10 120
 
0.4%
ValueCountFrequency (%)
1016750 1
< 0.1%
1013813 1
< 0.1%
1010531 1
< 0.1%
1007023 1
< 0.1%
1003506 1
< 0.1%
1000690 1
< 0.1%
998761 1
< 0.1%
995899 1
< 0.1%
992258 1
< 0.1%
988620 1
< 0.1%

new_deaths
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1591
Distinct (%)6.0%
Missing3425
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean125.45799
Minimum-1583
Maximum7554
Zeros10716
Zeros (%)35.7%
Negative37
Negative (%)0.1%
Memory size234.5 KiB
2025-02-08T12:43:35.438702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1583
5-th percentile0
Q10
median2
Q319
95-th percentile556.9
Maximum7554
Range9137
Interquartile range (IQR)19

Descriptive statistics

Standard deviation525.8791
Coefficient of variation (CV)4.1916749
Kurtosis53.664626
Mean125.45799
Median Absolute Deviation (MAD)2
Skewness6.7450286
Sum3334046
Variance276548.83
MonotonicityNot monotonic
2025-02-08T12:43:35.499702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10716
35.7%
1 1997
 
6.7%
2 1277
 
4.3%
3 937
 
3.1%
4 806
 
2.7%
5 620
 
2.1%
6 455
 
1.5%
7 404
 
1.3%
9 395
 
1.3%
8 382
 
1.3%
Other values (1581) 8586
28.6%
(Missing) 3425
 
11.4%
ValueCountFrequency (%)
-1583 1
 
< 0.1%
-1354 1
 
< 0.1%
-217 1
 
< 0.1%
-117 1
 
< 0.1%
-80 1
 
< 0.1%
-31 3
< 0.1%
-21 2
< 0.1%
-13 1
 
< 0.1%
-11 1
 
< 0.1%
-7 1
 
< 0.1%
ValueCountFrequency (%)
7554 1
< 0.1%
7161 1
< 0.1%
6755 1
< 0.1%
6716 1
< 0.1%
6646 1
< 0.1%
6599 1
< 0.1%
6549 1
< 0.1%
6535 1
< 0.1%
6421 1
< 0.1%
6406 1
< 0.1%

new_deaths_smoothed
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct3353
Distinct (%)11.6%
Missing1046
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean113.50309
Minimum-14.429
Maximum5608.286
Zeros7752
Zeros (%)25.8%
Negative42
Negative (%)0.1%
Memory size234.5 KiB
2025-02-08T12:43:35.557702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-14.429
5-th percentile0
Q10
median1.429
Q315.429
95-th percentile474.2928
Maximum5608.286
Range5622.715
Interquartile range (IQR)15.429

Descriptive statistics

Standard deviation484.16166
Coefficient of variation (CV)4.2656254
Kurtosis50.130316
Mean113.50309
Median Absolute Deviation (MAD)1.429
Skewness6.6446358
Sum3286368.5
Variance234412.51
MonotonicityNot monotonic
2025-02-08T12:43:35.615702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7752
25.8%
0.143 1909
 
6.4%
0.286 1201
 
4.0%
0.429 870
 
2.9%
0.571 621
 
2.1%
0.714 553
 
1.8%
0.857 436
 
1.5%
1 387
 
1.3%
1.143 330
 
1.1%
1.429 288
 
1.0%
Other values (3343) 14607
48.7%
(Missing) 1046
 
3.5%
ValueCountFrequency (%)
-14.429 1
 
< 0.1%
-14.143 2
 
< 0.1%
-14 1
 
< 0.1%
-13.857 1
 
< 0.1%
-13.143 1
 
< 0.1%
-12.857 1
 
< 0.1%
-3.714 2
 
< 0.1%
-2.714 1
 
< 0.1%
-2 4
< 0.1%
-0.857 7
< 0.1%
ValueCountFrequency (%)
5608.286 1
< 0.1%
5585.571 1
< 0.1%
5517 1
< 0.1%
5506 1
< 0.1%
5503.571 1
< 0.1%
5497.714 1
< 0.1%
5464.714 1
< 0.1%
5424.143 1
< 0.1%
5421.429 1
< 0.1%
5390.714 1
< 0.1%

total_cases_per_million
Real number (ℝ)

High correlation  Missing 

Distinct22825
Distinct (%)77.9%
Missing695
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean10162.461
Minimum0.001
Maximum171254.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:35.676697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile4.138
Q1233.175
median1437.105
Q39661.129
95-th percentile52298.672
Maximum171254.77
Range171254.77
Interquartile range (IQR)9427.954

Descriptive statistics

Standard deviation19718.981
Coefficient of variation (CV)1.9403746
Kurtosis14.335389
Mean10162.461
Median Absolute Deviation (MAD)1414.62
Skewness3.2771589
Sum2.9781091 × 108
Variance3.8883819 × 108
MonotonicityNot monotonic
2025-02-08T12:43:35.739702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
322.298 92
 
0.3%
250.031 81
 
0.3%
20.079 76
 
0.3%
222.25 53
 
0.2%
10.997 53
 
0.2%
45.269 53
 
0.2%
0.06 42
 
0.1%
35.697 42
 
0.1%
7.297 39
 
0.1%
338.299 32
 
0.1%
Other values (22815) 28742
95.8%
(Missing) 695
 
2.3%
ValueCountFrequency (%)
0.001 14
< 0.1%
0.002 2
 
< 0.1%
0.003 2
 
< 0.1%
0.004 3
 
< 0.1%
0.005 4
 
< 0.1%
0.006 1
 
< 0.1%
0.007 2
 
< 0.1%
0.008 1
 
< 0.1%
0.009 8
< 0.1%
0.01 16
0.1%
ValueCountFrequency (%)
171254.773 1
< 0.1%
170814.729 1
< 0.1%
170167.605 1
< 0.1%
169818.158 1
< 0.1%
169326.344 1
< 0.1%
169028.668 1
< 0.1%
168562.739 1
< 0.1%
168342.717 1
< 0.1%
167501.456 1
< 0.1%
167177.894 1
< 0.1%

new_cases_per_million
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct14550
Distinct (%)49.6%
Missing693
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean74.863491
Minimum-676.12
Maximum3869.799
Zeros6325
Zeros (%)21.1%
Negative24
Negative (%)0.1%
Memory size234.5 KiB
2025-02-08T12:43:35.799703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-676.12
5-th percentile0
Q10.122
median7.696
Q373.26
95-th percentile364.3169
Maximum3869.799
Range4545.919
Interquartile range (IQR)73.138

Descriptive statistics

Standard deviation168.09629
Coefficient of variation (CV)2.2453706
Kurtosis58.315973
Mean74.863491
Median Absolute Deviation (MAD)7.696
Skewness5.5134981
Sum2194024.3
Variance28256.361
MonotonicityNot monotonic
2025-02-08T12:43:35.960384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6325
 
21.1%
3.48 65
 
0.2%
1.296 63
 
0.2%
0.06 58
 
0.2%
0.061 50
 
0.2%
0.414 45
 
0.1%
2.286 45
 
0.1%
1.012 42
 
0.1%
0.12 36
 
0.1%
10.212 34
 
0.1%
Other values (14540) 22544
75.1%
(Missing) 693
 
2.3%
ValueCountFrequency (%)
-676.12 1
< 0.1%
-450.772 1
< 0.1%
-345.464 1
< 0.1%
-250.544 1
< 0.1%
-206.742 1
< 0.1%
-89.724 1
< 0.1%
-83.886 1
< 0.1%
-51.227 1
< 0.1%
-47.338 1
< 0.1%
-41.379 1
< 0.1%
ValueCountFrequency (%)
3869.799 1
< 0.1%
3714.489 1
< 0.1%
3475.672 1
< 0.1%
3365.042 1
< 0.1%
3183.848 1
< 0.1%
2937.941 1
< 0.1%
2562.609 1
< 0.1%
2523.782 1
< 0.1%
2433.184 1
< 0.1%
2420.242 1
< 0.1%

new_cases_smoothed_per_million
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct17411
Distinct (%)60.1%
Missing1046
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean74.784604
Minimum-29.757
Maximum1536.03
Zeros1279
Zeros (%)4.3%
Negative21
Negative (%)0.1%
Memory size234.5 KiB
2025-02-08T12:43:36.019806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-29.757
5-th percentile0.00665
Q11.453
median10.419
Q380.8065
95-th percentile352.3276
Maximum1536.03
Range1565.787
Interquartile range (IQR)79.3535

Descriptive statistics

Standard deviation148.39482
Coefficient of variation (CV)1.9842964
Kurtosis17.61217
Mean74.784604
Median Absolute Deviation (MAD)10.322
Skewness3.6530603
Sum2165313.4
Variance22021.023
MonotonicityNot monotonic
2025-02-08T12:43:36.088984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1279
 
4.3%
0.327 99
 
0.3%
0.159 77
 
0.3%
0.017 68
 
0.2%
0.026 63
 
0.2%
0.009 61
 
0.2%
1.459 58
 
0.2%
0.059 49
 
0.2%
0.004 45
 
0.1%
0.118 44
 
0.1%
Other values (17401) 27111
90.4%
(Missing) 1046
 
3.5%
ValueCountFrequency (%)
-29.757 1
< 0.1%
-28.761 1
< 0.1%
-26.647 1
< 0.1%
-25.538 1
< 0.1%
-19.781 1
< 0.1%
-19.206 1
< 0.1%
-16.46 1
< 0.1%
-12.907 1
< 0.1%
-12.307 1
< 0.1%
-11.838 1
< 0.1%
ValueCountFrequency (%)
1536.03 1
< 0.1%
1526.243 1
< 0.1%
1505.362 1
< 0.1%
1478.996 1
< 0.1%
1455.103 2
< 0.1%
1416.921 1
< 0.1%
1400.724 1
< 0.1%
1397.787 1
< 0.1%
1327.528 1
< 0.1%
1320.517 1
< 0.1%

total_deaths_per_million
Real number (ℝ)

High correlation  Missing 

Distinct15194
Distinct (%)57.3%
Missing3494
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean233.25935
Minimum0.001
Maximum2732.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:36.151981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.425
Q17.052
median47.8745
Q3266.92775
95-th percentile1110.5127
Maximum2732.94
Range2732.939
Interquartile range (IQR)259.87575

Descriptive statistics

Standard deviation396.41967
Coefficient of variation (CV)1.6994803
Kurtosis6.2444567
Mean233.25935
Median Absolute Deviation (MAD)45.5235
Skewness2.3916886
Sum6182772.3
Variance157148.55
MonotonicityNot monotonic
2025-02-08T12:43:36.211985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.857 319
 
1.1%
24.359 267
 
0.9%
0.084 251
 
0.8%
2.231 247
 
0.8%
30.635 212
 
0.7%
8.05 189
 
0.6%
61.741 143
 
0.5%
5.03 127
 
0.4%
13.044 124
 
0.4%
0.425 118
 
0.4%
Other values (15184) 24509
81.7%
(Missing) 3494
 
11.6%
ValueCountFrequency (%)
0.001 10
< 0.1%
0.002 7
< 0.1%
0.003 1
 
< 0.1%
0.004 5
< 0.1%
0.005 3
 
< 0.1%
0.006 6
< 0.1%
0.007 1
 
< 0.1%
0.008 1
 
< 0.1%
0.009 2
 
< 0.1%
0.01 5
< 0.1%
ValueCountFrequency (%)
2732.94 1
< 0.1%
2727.897 1
< 0.1%
2721.174 1
< 0.1%
2715.011 1
< 0.1%
2708.194 1
< 0.1%
2704.459 1
< 0.1%
2700.537 1
< 0.1%
2695.214 1
< 0.1%
2688.117 1
< 0.1%
2681.02 1
< 0.1%

new_deaths_per_million
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct3500
Distinct (%)13.2%
Missing3425
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean1.5251532
Minimum-10.095
Maximum218.329
Zeros10718
Zeros (%)35.7%
Negative37
Negative (%)0.1%
Memory size234.5 KiB
2025-02-08T12:43:36.273982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-10.095
5-th percentile0
Q10
median0.121
Q31.346
95-th percentile7.6212
Maximum218.329
Range228.424
Interquartile range (IQR)1.346

Descriptive statistics

Standard deviation3.8552102
Coefficient of variation (CV)2.5277528
Kurtosis477.35946
Mean1.5251532
Median Absolute Deviation (MAD)0.121
Skewness12.574611
Sum40530.945
Variance14.862645
MonotonicityNot monotonic
2025-02-08T12:43:36.331983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10718
35.7%
0.061 170
 
0.6%
0.001 124
 
0.4%
1.799 106
 
0.4%
0.588 102
 
0.3%
0.03 101
 
0.3%
0.038 98
 
0.3%
0.091 96
 
0.3%
0.173 82
 
0.3%
0.026 81
 
0.3%
Other values (3490) 14897
49.7%
(Missing) 3425
 
11.4%
ValueCountFrequency (%)
-10.095 1
< 0.1%
-7.992 1
< 0.1%
-5.618 1
< 0.1%
-4.523 1
< 0.1%
-3.558 1
< 0.1%
-3.353 1
< 0.1%
-3.184 1
< 0.1%
-2.515 1
< 0.1%
-2.283 1
< 0.1%
-1.809 1
< 0.1%
ValueCountFrequency (%)
218.329 1
< 0.1%
141.865 1
< 0.1%
77.655 1
< 0.1%
74.144 1
< 0.1%
63.094 1
< 0.1%
57.912 1
< 0.1%
57.608 1
< 0.1%
55.293 1
< 0.1%
51.77 1
< 0.1%
51.058 1
< 0.1%

new_deaths_smoothed_per_million
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct4829
Distinct (%)16.7%
Missing1046
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.3831697
Minimum-1.245
Maximum33.838
Zeros7913
Zeros (%)26.4%
Negative42
Negative (%)0.1%
Memory size234.5 KiB
2025-02-08T12:43:36.393982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.245
5-th percentile0
Q10
median0.168
Q31.321
95-th percentile6.9264
Maximum33.838
Range35.083
Interquartile range (IQR)1.321

Descriptive statistics

Standard deviation2.9153681
Coefficient of variation (CV)2.1077443
Kurtosis18.753815
Mean1.3831697
Median Absolute Deviation (MAD)0.168
Skewness3.7637404
Sum40048.295
Variance8.4993709
MonotonicityNot monotonic
2025-02-08T12:43:36.458981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7913
26.4%
0.026 237
 
0.8%
0.011 167
 
0.6%
0.001 141
 
0.5%
0.013 140
 
0.5%
0.059 138
 
0.5%
0.022 134
 
0.4%
0.052 130
 
0.4%
0.257 125
 
0.4%
0.016 120
 
0.4%
Other values (4819) 19709
65.7%
(Missing) 1046
 
3.5%
ValueCountFrequency (%)
-1.245 1
 
< 0.1%
-1.22 2
 
< 0.1%
-1.208 1
 
< 0.1%
-1.196 1
 
< 0.1%
-1.134 1
 
< 0.1%
-1.109 1
 
< 0.1%
-0.673 2
 
< 0.1%
-0.646 7
< 0.1%
-0.492 1
 
< 0.1%
-0.362 4
< 0.1%
ValueCountFrequency (%)
33.838 1
< 0.1%
33.7 1
< 0.1%
33.522 1
< 0.1%
33.206 1
< 0.1%
33.052 1
< 0.1%
32.842 1
< 0.1%
32.55 1
< 0.1%
28.77 1
< 0.1%
27.993 1
< 0.1%
27.118 1
< 0.1%

reproduction_rate
Real number (ℝ)

Missing 

Distinct312
Distinct (%)1.3%
Missing5859
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean1.0084317
Minimum0
Maximum3.45
Zeros90
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:36.521982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q10.84
median1.02
Q31.17
95-th percentile1.5
Maximum3.45
Range3.45
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.34659854
Coefficient of variation (CV)0.34370056
Kurtosis4.8887993
Mean1.0084317
Median Absolute Deviation (MAD)0.17
Skewness0.56161406
Sum24344.55
Variance0.12013055
MonotonicityNot monotonic
2025-02-08T12:43:36.581983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.98 454
 
1.5%
0.97 454
 
1.5%
0.99 437
 
1.5%
1.09 437
 
1.5%
1.1 414
 
1.4%
1.06 413
 
1.4%
1 411
 
1.4%
1.02 408
 
1.4%
1.08 407
 
1.4%
0.95 404
 
1.3%
Other values (302) 19902
66.3%
(Missing) 5859
 
19.5%
ValueCountFrequency (%)
0 90
0.3%
0.01 57
0.2%
0.02 27
 
0.1%
0.03 39
0.1%
0.04 22
 
0.1%
0.05 18
 
0.1%
0.06 12
 
< 0.1%
0.07 10
 
< 0.1%
0.08 10
 
< 0.1%
0.09 8
 
< 0.1%
ValueCountFrequency (%)
3.45 1
< 0.1%
3.44 1
< 0.1%
3.42 1
< 0.1%
3.36 1
< 0.1%
3.35 1
< 0.1%
3.3 1
< 0.1%
3.27 1
< 0.1%
3.23 1
< 0.1%
3.21 1
< 0.1%
3.18 1
< 0.1%

icu_patients
Real number (ℝ)

High correlation  Missing 

Distinct1421
Distinct (%)33.2%
Missing25716
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean656.94328
Minimum0
Maximum7019
Zeros173
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:36.645976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q120
median87
Q3598.25
95-th percentile3755.9
Maximum7019
Range7019
Interquartile range (IQR)578.25

Descriptive statistics

Standard deviation1228.945
Coefficient of variation (CV)1.8707019
Kurtosis6.7087456
Mean656.94328
Median Absolute Deviation (MAD)86
Skewness2.6470138
Sum2814345
Variance1510305.9
MonotonicityNot monotonic
2025-02-08T12:43:36.706975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
 
0.6%
1 128
 
0.4%
2 110
 
0.4%
3 61
 
0.2%
4 53
 
0.2%
9 47
 
0.2%
11 46
 
0.2%
15 43
 
0.1%
6 43
 
0.1%
17 39
 
0.1%
Other values (1411) 3541
 
11.8%
(Missing) 25716
85.7%
ValueCountFrequency (%)
0 173
0.6%
1 128
0.4%
2 110
0.4%
3 61
 
0.2%
4 53
 
0.2%
5 38
 
0.1%
6 43
 
0.1%
7 25
 
0.1%
8 21
 
0.1%
9 47
 
0.2%
ValueCountFrequency (%)
7019 1
< 0.1%
7004 1
< 0.1%
6948 1
< 0.1%
6937 1
< 0.1%
6875 1
< 0.1%
6859 1
< 0.1%
6752 1
< 0.1%
6723 1
< 0.1%
6714 1
< 0.1%
6690 1
< 0.1%

icu_patients_per_million
Real number (ℝ)

High correlation  Missing 

Distinct2356
Distinct (%)55.0%
Missing25716
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean25.229517
Minimum0
Maximum192.642
Zeros173
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:36.768977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.18
Q13.178
median10.655
Q339.127
95-th percentile92.84385
Maximum192.642
Range192.642
Interquartile range (IQR)35.949

Descriptive statistics

Standard deviation31.250003
Coefficient of variation (CV)1.2386287
Kurtosis4.2365011
Mean25.229517
Median Absolute Deviation (MAD)9.513
Skewness1.8952797
Sum108083.25
Variance976.56267
MonotonicityNot monotonic
2025-02-08T12:43:36.832978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
 
0.6%
0.754 56
 
0.2%
1.508 42
 
0.1%
2.283 39
 
0.1%
1.142 34
 
0.1%
0.518 23
 
0.1%
3.425 22
 
0.1%
3.015 21
 
0.1%
0.18 18
 
0.1%
14.842 17
 
0.1%
Other values (2346) 3839
 
12.8%
(Missing) 25716
85.7%
ValueCountFrequency (%)
0 173
0.6%
0.015 10
 
< 0.1%
0.026 1
 
< 0.1%
0.029 1
 
< 0.1%
0.053 3
 
< 0.1%
0.132 2
 
< 0.1%
0.159 1
 
< 0.1%
0.173 9
 
< 0.1%
0.18 18
 
0.1%
0.187 1
 
< 0.1%
ValueCountFrequency (%)
192.642 1
< 0.1%
191.521 1
< 0.1%
190.308 1
< 0.1%
189.187 1
< 0.1%
188.347 1
< 0.1%
186.479 1
< 0.1%
186.199 1
< 0.1%
185.825 1
< 0.1%
185.452 1
< 0.1%
184.798 1
< 0.1%

hosp_patients
Real number (ℝ)

High correlation  Missing 

Distinct2234
Distinct (%)52.4%
Missing25739
Missing (%)85.8%
Infinite0
Infinite (%)0.0%
Mean2997.4466
Minimum0
Maximum33466
Zeros53
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:36.894978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1111
median426
Q32754
95-th percentile23013
Maximum33466
Range33466
Interquartile range (IQR)2643

Descriptive statistics

Standard deviation6285.2069
Coefficient of variation (CV)2.0968537
Kurtosis9.6762924
Mean2997.4466
Median Absolute Deviation (MAD)412
Skewness3.1801903
Sum12772120
Variance39503826
MonotonicityNot monotonic
2025-02-08T12:43:36.956978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
0.2%
4 51
 
0.2%
7 35
 
0.1%
6 34
 
0.1%
1 30
 
0.1%
9 29
 
0.1%
5 27
 
0.1%
8 25
 
0.1%
2 22
 
0.1%
3 20
 
0.1%
Other values (2224) 3935
 
13.1%
(Missing) 25739
85.8%
ValueCountFrequency (%)
0 53
0.2%
1 30
0.1%
2 22
0.1%
3 20
 
0.1%
4 51
0.2%
5 27
0.1%
6 34
0.1%
7 35
0.1%
8 25
0.1%
9 29
0.1%
ValueCountFrequency (%)
33466 1
< 0.1%
33139 1
< 0.1%
33050 1
< 0.1%
32811 1
< 0.1%
32676 1
< 0.1%
32654 1
< 0.1%
32468 1
< 0.1%
32314 1
< 0.1%
32131 1
< 0.1%
31952 1
< 0.1%

hosp_patients_per_million
Real number (ℝ)

High correlation  Missing 

Distinct3226
Distinct (%)75.7%
Missing25739
Missing (%)85.8%
Infinite0
Infinite (%)0.0%
Mean173.95715
Minimum0
Maximum1532.573
Zeros53
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:37.018979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.762
Q120.545
median70.902
Q3251.351
95-th percentile623.058
Maximum1532.573
Range1532.573
Interquartile range (IQR)230.806

Descriptive statistics

Standard deviation232.49055
Coefficient of variation (CV)1.3364818
Kurtosis6.4487686
Mean173.95715
Median Absolute Deviation (MAD)63.683
Skewness2.235
Sum741231.41
Variance54051.858
MonotonicityNot monotonic
2025-02-08T12:43:37.081978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
0.2%
4.567 23
 
0.1%
3.015 19
 
0.1%
7.992 17
 
0.1%
0.754 16
 
0.1%
6.85 14
 
< 0.1%
5.708 14
 
< 0.1%
6.785 13
 
< 0.1%
2.262 12
 
< 0.1%
1.142 12
 
< 0.1%
Other values (3216) 4068
 
13.6%
(Missing) 25739
85.8%
ValueCountFrequency (%)
0 53
0.2%
0.015 2
 
< 0.1%
0.029 1
 
< 0.1%
0.059 2
 
< 0.1%
0.088 5
 
< 0.1%
0.103 1
 
< 0.1%
0.106 1
 
< 0.1%
0.117 1
 
< 0.1%
0.132 3
 
< 0.1%
0.161 7
 
< 0.1%
ValueCountFrequency (%)
1532.573 1
< 0.1%
1514.152 1
< 0.1%
1500.911 1
< 0.1%
1497.313 1
< 0.1%
1497.026 1
< 0.1%
1494.147 2
< 0.1%
1491.701 1
< 0.1%
1490.261 1
< 0.1%
1478.172 1
< 0.1%
1461.046 1
< 0.1%

weekly_icu_admissions
Real number (ℝ)

High correlation  Missing 

Distinct148
Distinct (%)72.5%
Missing29796
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean660.05901
Minimum0.986
Maximum4037.019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:37.251982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.986
5-th percentile0.998
Q111.09625
median54.899
Q31297.5045
95-th percentile2782.26
Maximum4037.019
Range4036.033
Interquartile range (IQR)1286.4082

Descriptive statistics

Standard deviation966.14057
Coefficient of variation (CV)1.4637185
Kurtosis0.77996796
Mean660.05901
Median Absolute Deviation (MAD)53.901
Skewness1.3599624
Sum134652.04
Variance933427.61
MonotonicityNot monotonic
2025-02-08T12:43:37.314982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.986 10
 
< 0.1%
0.998 8
 
< 0.1%
1.973 4
 
< 0.1%
4.932 4
 
< 0.1%
7.985 4
 
< 0.1%
3.993 4
 
< 0.1%
7.891 3
 
< 0.1%
2.994 3
 
< 0.1%
18.025 3
 
< 0.1%
8.877 3
 
< 0.1%
Other values (138) 158
 
0.5%
(Missing) 29796
99.3%
ValueCountFrequency (%)
0.986 10
< 0.1%
0.998 8
< 0.1%
1.973 4
 
< 0.1%
1.996 2
 
< 0.1%
2.959 2
 
< 0.1%
2.994 3
 
< 0.1%
3.945 2
 
< 0.1%
3.993 4
 
< 0.1%
4.932 4
 
< 0.1%
4.991 2
 
< 0.1%
ValueCountFrequency (%)
4037.019 1
< 0.1%
3791.032 1
< 0.1%
3157.337 1
< 0.1%
3095.588 1
< 0.1%
2998.408 1
< 0.1%
2989.199 1
< 0.1%
2963.99 1
< 0.1%
2960.158 1
< 0.1%
2954.879 1
< 0.1%
2798.932 1
< 0.1%

weekly_icu_admissions_per_million
Real number (ℝ)

High correlation  Missing 

Distinct148
Distinct (%)72.5%
Missing29796
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean36.177873
Minimum0.752
Maximum279.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:37.374982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.752
5-th percentile1.126
Q12.922
median13.139
Q329.76125
95-th percentile181.9023
Maximum279.13
Range278.378
Interquartile range (IQR)26.83925

Descriptive statistics

Standard deviation60.498193
Coefficient of variation (CV)1.672243
Kurtosis4.7876262
Mean36.177873
Median Absolute Deviation (MAD)11.456
Skewness2.3565797
Sum7380.286
Variance3660.0314
MonotonicityNot monotonic
2025-02-08T12:43:37.431983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.126 10
 
< 0.1%
0.752 8
 
< 0.1%
2.252 4
 
< 0.1%
5.631 4
 
< 0.1%
6.02 4
 
< 0.1%
3.01 4
 
< 0.1%
9.009 3
 
< 0.1%
2.257 3
 
< 0.1%
1.683 3
 
< 0.1%
10.135 3
 
< 0.1%
Other values (138) 158
 
0.5%
(Missing) 29796
99.3%
ValueCountFrequency (%)
0.752 8
< 0.1%
1.126 10
< 0.1%
1.129 1
 
< 0.1%
1.159 2
 
< 0.1%
1.173 1
 
< 0.1%
1.203 1
 
< 0.1%
1.218 1
 
< 0.1%
1.309 1
 
< 0.1%
1.496 2
 
< 0.1%
1.505 2
 
< 0.1%
ValueCountFrequency (%)
279.13 1
< 0.1%
276.418 1
< 0.1%
261.363 1
< 0.1%
260.615 1
< 0.1%
227.98 1
< 0.1%
226.483 1
< 0.1%
197.776 1
< 0.1%
194.596 1
< 0.1%
188.237 1
< 0.1%
187.115 1
< 0.1%

weekly_hosp_admissions
Real number (ℝ)

High correlation  Missing 

Distinct435
Distinct (%)91.2%
Missing29523
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean2144.2654
Minimum0
Maximum20232.672
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:37.490981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.996
Q174.862
median307.264
Q31823.927
95-th percentile10900.773
Maximum20232.672
Range20232.672
Interquartile range (IQR)1749.065

Descriptive statistics

Standard deviation3762.5904
Coefficient of variation (CV)1.7547223
Kurtosis4.2695504
Mean2144.2654
Median Absolute Deviation (MAD)299.253
Skewness2.1864375
Sum1022814.6
Variance14157086
MonotonicityNot monotonic
2025-02-08T12:43:37.555976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.986 11
 
< 0.1%
5.918 4
 
< 0.1%
0 4
 
< 0.1%
1.996 4
 
< 0.1%
1.973 3
 
< 0.1%
3.945 3
 
< 0.1%
21.885 3
 
< 0.1%
1532.585 2
 
< 0.1%
7.891 2
 
< 0.1%
277.536 2
 
< 0.1%
Other values (425) 439
 
1.5%
(Missing) 29523
98.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
0.986 11
< 0.1%
0.995 1
 
< 0.1%
0.998 2
 
< 0.1%
1.012 1
 
< 0.1%
1.973 3
 
< 0.1%
1.996 4
 
< 0.1%
3.035 1
 
< 0.1%
3.945 3
 
< 0.1%
3.993 2
 
< 0.1%
ValueCountFrequency (%)
20232.672 1
< 0.1%
18723.345 1
< 0.1%
17208.957 1
< 0.1%
16561.09 1
< 0.1%
16338.386 1
< 0.1%
16210.837 1
< 0.1%
14512.386 1
< 0.1%
14186.929 1
< 0.1%
13619.131 1
< 0.1%
13389.581 1
< 0.1%

weekly_hosp_admissions_per_million
Real number (ℝ)

High correlation  Missing 

Distinct434
Distinct (%)91.0%
Missing29523
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean131.94221
Minimum0
Maximum1355.16
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:37.619976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.126
Q110.193
median45.339
Q3138.513
95-th percentile694.0382
Maximum1355.16
Range1355.16
Interquartile range (IQR)128.32

Descriptive statistics

Standard deviation233.93213
Coefficient of variation (CV)1.7729893
Kurtosis10.09758
Mean131.94221
Median Absolute Deviation (MAD)40.824
Skewness3.1163638
Sum62936.434
Variance54724.24
MonotonicityNot monotonic
2025-02-08T12:43:37.683977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.126 11
 
< 0.1%
0 4
 
< 0.1%
6.757 4
 
< 0.1%
1.505 4
 
< 0.1%
2.252 3
 
< 0.1%
4.504 3
 
< 0.1%
3.778 3
 
< 0.1%
373.321 2
 
< 0.1%
17.861 2
 
< 0.1%
10.006 2
 
< 0.1%
Other values (424) 439
 
1.5%
(Missing) 29523
98.4%
ValueCountFrequency (%)
0 4
< 0.1%
0.172 1
 
< 0.1%
0.246 1
 
< 0.1%
0.313 1
 
< 0.1%
0.457 1
 
< 0.1%
0.661 1
 
< 0.1%
0.709 1
 
< 0.1%
0.739 1
 
< 0.1%
0.748 1
 
< 0.1%
0.752 2
< 0.1%
ValueCountFrequency (%)
1355.16 1
< 0.1%
1324.769 1
< 0.1%
1271.748 1
< 0.1%
1222.936 1
< 0.1%
1199.558 1
< 0.1%
1133.446 1
< 0.1%
1127.835 1
< 0.1%
1099.127 1
< 0.1%
1082.576 2
< 0.1%
1069.11 1
< 0.1%

new_tests
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct8497
Distinct (%)71.1%
Missing18053
Missing (%)60.2%
Infinite0
Infinite (%)0.0%
Mean25841.399
Minimum-75493
Maximum32022805
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)< 0.1%
Memory size234.5 KiB
2025-02-08T12:43:37.744975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-75493
5-th percentile111
Q11288.5
median4499
Q318536
95-th percentile98543.9
Maximum32022805
Range32098298
Interquartile range (IQR)17247.5

Descriptive statistics

Standard deviation299418.73
Coefficient of variation (CV)11.586785
Kurtosis10920.129
Mean25841.399
Median Absolute Deviation (MAD)4178
Skewness102.28826
Sum3.0872719 × 108
Variance8.9651576 × 1010
MonotonicityNot monotonic
2025-02-08T12:43:37.806981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 18
 
0.1%
5 17
 
0.1%
2 14
 
< 0.1%
10 12
 
< 0.1%
33 11
 
< 0.1%
25 10
 
< 0.1%
291 10
 
< 0.1%
2460 10
 
< 0.1%
20 10
 
< 0.1%
24 10
 
< 0.1%
Other values (8487) 11825
39.4%
(Missing) 18053
60.2%
ValueCountFrequency (%)
-75493 1
 
< 0.1%
-3743 1
 
< 0.1%
-1377 1
 
< 0.1%
-357 1
 
< 0.1%
-56 1
 
< 0.1%
-35 1
 
< 0.1%
-1 1
 
< 0.1%
1 18
0.1%
2 14
< 0.1%
3 8
< 0.1%
ValueCountFrequency (%)
32022805 1
< 0.1%
2945871 1
< 0.1%
742424 1
< 0.1%
735264 1
< 0.1%
702144 1
< 0.1%
684146 1
< 0.1%
680169 1
< 0.1%
672395 1
< 0.1%
669267 1
< 0.1%
648064 1
< 0.1%

total_tests
Real number (ℝ)

High correlation  Missing 

Distinct11211
Distinct (%)99.1%
Missing18690
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean2290178.6
Minimum0
Maximum1.6 × 108
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:37.869975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4010.85
Q1114103.25
median542221
Q32042527.5
95-th percentile11427935
Maximum1.6 × 108
Range1.6 × 108
Interquartile range (IQR)1928424.2

Descriptive statistics

Standard deviation4958250.2
Coefficient of variation (CV)2.165006
Kurtosis115.88128
Mean2290178.6
Median Absolute Deviation (MAD)514025
Skewness6.6933202
Sum2.5901919 × 1010
Variance2.4584245 × 1013
MonotonicityNot monotonic
2025-02-08T12:43:37.933976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 4
 
< 0.1%
1730 3
 
< 0.1%
1 3
 
< 0.1%
84 3
 
< 0.1%
13 3
 
< 0.1%
111 3
 
< 0.1%
367 3
 
< 0.1%
17513 3
 
< 0.1%
745 3
 
< 0.1%
3 3
 
< 0.1%
Other values (11201) 11279
37.6%
(Missing) 18690
62.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 3
< 0.1%
2 2
< 0.1%
3 3
< 0.1%
5 2
< 0.1%
6 2
< 0.1%
7 2
< 0.1%
8 4
< 0.1%
9 2
< 0.1%
10 2
< 0.1%
ValueCountFrequency (%)
160000000 1
< 0.1%
90000000 1
< 0.1%
55421229 1
< 0.1%
54011970 1
< 0.1%
52700083 1
< 0.1%
51531133 1
< 0.1%
50352755 1
< 0.1%
48937535 1
< 0.1%
47570288 1
< 0.1%
46290238 1
< 0.1%

total_tests_per_thousand
Real number (ℝ)

High correlation  Missing 

Distinct10741
Distinct (%)95.0%
Missing18690
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean248.01289
Minimum0
Maximum5871.368
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:37.996976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5969
Q113.7825
median63.396
Q3229.26575
95-th percentile1036.3372
Maximum5871.368
Range5871.368
Interquartile range (IQR)215.48325

Descriptive statistics

Standard deviation538.20178
Coefficient of variation (CV)2.1700557
Kurtosis28.851725
Mean248.01289
Median Absolute Deviation (MAD)58.912
Skewness4.7415316
Sum2805025.8
Variance289661.16
MonotonicityNot monotonic
2025-02-08T12:43:38.058975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001 20
 
0.1%
0.003 14
 
< 0.1%
0.002 13
 
< 0.1%
0.011 11
 
< 0.1%
0.01 11
 
< 0.1%
0.006 10
 
< 0.1%
0.012 9
 
< 0.1%
0.004 8
 
< 0.1%
0.009 8
 
< 0.1%
0.007 7
 
< 0.1%
Other values (10731) 11199
37.3%
(Missing) 18690
62.3%
ValueCountFrequency (%)
0 6
 
< 0.1%
0.001 20
0.1%
0.002 13
< 0.1%
0.003 14
< 0.1%
0.004 8
 
< 0.1%
0.005 3
 
< 0.1%
0.006 10
< 0.1%
0.007 7
 
< 0.1%
0.008 7
 
< 0.1%
0.009 8
 
< 0.1%
ValueCountFrequency (%)
5871.368 1
< 0.1%
5824.774 1
< 0.1%
5775.822 1
< 0.1%
5718.052 1
< 0.1%
5653.134 1
< 0.1%
5586.392 1
< 0.1%
5510.317 1
< 0.1%
5446.878 1
< 0.1%
5386.341 1
< 0.1%
5321.53 1
< 0.1%

new_tests_per_thousand
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct4126
Distinct (%)34.5%
Missing18053
Missing (%)60.2%
Infinite0
Infinite (%)0.0%
Mean2.483762
Minimum-23.01
Maximum2827.217
Zeros61
Zeros (%)0.2%
Negative7
Negative (%)< 0.1%
Memory size234.5 KiB
2025-02-08T12:43:38.122262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-23.01
5-th percentile0.009
Q10.144
median0.614
Q31.8785
95-th percentile8.0187
Maximum2827.217
Range2850.227
Interquartile range (IQR)1.7345

Descriptive statistics

Standard deviation26.67276
Coefficient of variation (CV)10.738855
Kurtosis10533.939
Mean2.483762
Median Absolute Deviation (MAD)0.551
Skewness99.662456
Sum29673.505
Variance711.43611
MonotonicityNot monotonic
2025-02-08T12:43:38.183986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.002 100
 
0.3%
0.003 90
 
0.3%
0.001 75
 
0.2%
0.004 70
 
0.2%
0.005 68
 
0.2%
0 61
 
0.2%
0.006 47
 
0.2%
0.007 41
 
0.1%
0.379 32
 
0.1%
0.045 31
 
0.1%
Other values (4116) 11332
37.8%
(Missing) 18053
60.2%
ValueCountFrequency (%)
-23.01 1
 
< 0.1%
-0.398 1
 
< 0.1%
-0.212 1
 
< 0.1%
-0.078 1
 
< 0.1%
-0.039 1
 
< 0.1%
-0.017 1
 
< 0.1%
-0.001 1
 
< 0.1%
0 61
0.2%
0.001 75
0.2%
0.002 100
0.3%
ValueCountFrequency (%)
2827.217 1
< 0.1%
327.086 1
< 0.1%
78.854 1
< 0.1%
76.075 1
< 0.1%
72.162 1
< 0.1%
68.234 1
< 0.1%
67.746 1
< 0.1%
67.524 1
< 0.1%
67.407 1
< 0.1%
66.742 1
< 0.1%

new_tests_smoothed
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct9656
Distinct (%)70.1%
Missing16235
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean25407.91
Minimum0
Maximum4594014
Zeros48
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-02-08T12:43:38.246160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile108
Q11401
median4882
Q321084
95-th percentile133399.4
Maximum4594014
Range4594014
Interquartile range (IQR)19683

Descriptive statistics

Standard deviation66805.816
Coefficient of variation (CV)2.6293314
Kurtosis1597.2887
Mean25407.91
Median Absolute Deviation (MAD)4580
Skewness25.449046
Sum3.4973988 × 108
Variance4.4630171 × 109
MonotonicityNot monotonic
2025-02-08T12:43:38.307728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
0.2%
2470 17
 
0.1%
1 16
 
0.1%
8 14
 
< 0.1%
51 13
 
< 0.1%
69 13
 
< 0.1%
2468 12
 
< 0.1%
6 12
 
< 0.1%
5 12
 
< 0.1%
39 12
 
< 0.1%
Other values (9646) 13596
45.3%
(Missing) 16235
54.1%
ValueCountFrequency (%)
0 48
0.2%
1 16
 
0.1%
2 9
 
< 0.1%
3 7
 
< 0.1%
4 11
 
< 0.1%
5 12
 
< 0.1%
6 12
 
< 0.1%
7 12
 
< 0.1%
8 14
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
4594014 1
< 0.1%
541756 1
< 0.1%
541342 1
< 0.1%
539742 1
< 0.1%
532710 1
< 0.1%
527556 1
< 0.1%
526470 1
< 0.1%
521061 1
< 0.1%
518150 1
< 0.1%
514334 1
< 0.1%

Interactions

2025-02-08T12:43:31.776156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:55.108139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:56.636128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:58.229192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:59.640982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:01.122846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:02.537046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:03.992543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:05.555586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:06.938729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:08.517054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:09.884035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:11.348619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:12.884508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:14.322364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:15.809361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:17.373467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:18.788912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:20.376911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:21.776237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:22.984723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:24.481726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:25.922809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:27.303723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:28.793856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:30.375004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:31.823725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:55.160128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:56.707128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:58.279192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:59.690982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:01.172443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:02.586047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:04.046537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:05.604931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:06.993729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:08.569061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:09.934036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:11.403623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:12.942499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:14.373360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:15.864363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:17.425469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:18.843912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:20.421918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:21.819240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:23.037720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:24.529718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:25.973834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:27.358859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:28.860854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:30.425010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:31.874719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:55.212128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:56.766012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:58.330192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:59.742982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:01.223041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:02.638040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:04.102543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:05.656932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:07.050726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:08.620058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:09.984620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:11.456624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:12.999505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:14.430363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:15.921362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:17.484463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:18.903912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:20.469913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:21.865236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:23.089722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:24.582719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:26.027835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:27.415859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:28.925860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:30.481010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:31.924720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:55.268127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:56.817593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:58.380191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:59.795982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:01.276047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:02.690047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:04.162537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:05.706461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:07.106728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:08.674058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:10.034623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:11.511624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:13.057504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:14.483364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:15.990359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:17.538471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:18.960913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:20.516917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:21.911237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:23.141722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:24.633720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:26.082868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:27.469859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:28.976859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:30.536004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:31.976725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:55.320134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:56.870194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:58.436191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:59.845982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:01.328041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:02.742049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:04.218543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:05.757461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:07.163727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:08.728053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:10.192619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:11.565624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:13.116505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:14.536367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:16.053365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:17.590470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:19.016915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:20.566912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:21.955237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:23.192722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:24.684720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-08T12:43:27.527859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:29.034860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:30.587010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:32.029700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:55.373136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:56.924187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:58.491187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:59.899980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:01.378050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-08T12:43:10.244623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:11.617625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:13.168499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:14.593362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:16.109359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:17.646465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:19.072916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:20.618911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:22.004238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:23.249720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:24.735720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-08T12:43:08.230053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:09.618052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:11.066623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:12.599504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:14.041505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:15.552361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:17.100471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:18.521315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:20.096915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:21.546239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:22.756247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:24.201723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:25.669801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:27.039037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:28.526859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:29.999004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:31.508012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:32.995599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:56.419133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:57.899185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:59.431701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:00.892801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:02.314045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:03.780608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:05.331542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:06.704726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:08.286058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:09.670058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:11.116624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:12.656505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:14.095499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:15.604425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:17.156468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:18.574331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:20.152914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:21.592239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:22.801244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:24.253723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-08T12:43:28.577855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:30.054006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:31.561006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:33.042592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:56.473127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:57.958186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:42:59.485702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-08T12:43:03.834542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:05.387542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:06.786726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-08T12:43:11.171623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-08T12:43:14.155963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-08T12:42:59.588982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-08T12:43:24.429718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:25.869807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:27.254104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:28.746867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:30.325011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-08T12:43:31.723574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-02-08T12:43:38.474730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
continenthosp_patientshosp_patients_per_millionicu_patientsicu_patients_per_millionnew_casesnew_cases_per_millionnew_cases_smoothednew_cases_smoothed_per_millionnew_deathsnew_deaths_per_millionnew_deaths_smoothednew_deaths_smoothed_per_millionnew_testsnew_tests_per_thousandnew_tests_smoothedreproduction_ratetotal_casestotal_cases_per_milliontotal_deathstotal_deaths_per_milliontotal_teststotal_tests_per_thousandweekly_hosp_admissionsweekly_hosp_admissions_per_millionweekly_icu_admissionsweekly_icu_admissions_per_million
continent1.0000.1210.2340.1410.1850.2450.1420.1840.2030.1690.0950.1350.2290.0030.0000.0260.1370.1520.2050.1760.2690.0740.1391.0001.0001.0001.000
hosp_patients0.1211.0000.8390.9730.8300.8330.5930.8810.6360.9020.7640.9600.8130.6120.1630.626-0.1450.8400.6100.8330.7320.5280.2210.9650.7310.9100.632
hosp_patients_per_million0.2340.8391.0000.7790.9580.7050.7630.7500.8220.7560.8560.8020.9300.3460.3110.355-0.1950.6830.7330.5430.6900.3060.3580.8400.9300.7220.855
icu_patients0.1410.9730.7791.0000.8090.8510.5100.8940.5480.9040.6960.9580.7340.6700.1540.728-0.1820.8640.5470.8520.6730.6050.2010.9550.5680.9490.682
icu_patients_per_million0.1850.8300.9580.8091.0000.7300.7480.7730.8090.7840.8580.8210.9310.4330.3550.441-0.2710.7040.7290.5730.6970.4010.3940.8330.8830.7620.907
new_cases0.2450.8330.7050.8510.7301.0000.8420.9240.6830.8890.7740.8720.7170.7280.3740.7190.3220.8320.5660.7960.5370.6610.3350.8840.7110.8020.765
new_cases_per_million0.1420.5930.7630.5100.7480.8421.0000.7390.8570.6390.7680.6570.7750.5680.6200.5100.2910.6440.7280.5270.6780.5270.5640.5820.8740.4200.763
new_cases_smoothed0.1840.8810.7500.8940.7730.9240.7391.0000.7650.8670.7450.9290.7840.7340.3710.7370.3100.9010.6290.8480.5850.6830.3480.9380.6920.8880.732
new_cases_smoothed_per_million0.2030.6360.8220.5480.8090.6830.8570.7651.0000.5580.7030.6600.8460.5690.6420.5170.2520.6530.8580.5120.7810.5420.6010.6520.9130.4890.822
new_deaths0.1690.9020.7560.9040.7840.8890.6390.8670.5581.0000.8840.9190.7080.5600.2090.5570.1230.7830.4540.7940.5270.4610.1420.8760.7080.8240.752
new_deaths_per_million0.0950.7640.8560.6960.8580.7740.7680.7450.7030.8841.0000.7890.8270.4280.3680.3940.1060.6540.5920.6440.6270.3440.3030.6910.8530.6270.829
new_deaths_smoothed0.1350.9600.8020.9580.8210.8720.6570.9290.6600.9190.7891.0000.8490.6120.2250.6150.1730.8550.5630.8500.5720.5420.1940.9460.6580.9300.699
new_deaths_smoothed_per_million0.2290.8130.9300.7340.9310.7170.7750.7840.8460.7080.8270.8491.0000.4800.4310.4400.1360.7040.7470.6240.7480.4320.3840.7750.8900.7170.894
new_tests0.0030.6120.3460.6700.4330.7280.5680.7340.5690.5600.4280.6120.4801.0000.7100.982-0.0030.7500.6050.6820.5520.9120.6450.6320.4640.7370.580
new_tests_per_thousand0.0000.1630.3110.1540.3550.3740.6200.3710.6420.2090.3680.2250.4310.7101.0000.684-0.0260.3920.6600.3010.5520.6380.9100.0040.331-0.2480.251
new_tests_smoothed0.0260.6260.3550.7280.4410.7190.5100.7370.5170.5570.3940.6150.4400.9820.6841.000-0.0190.7700.5640.7020.5040.9320.6510.7350.3100.8440.540
reproduction_rate0.137-0.145-0.195-0.182-0.2710.3220.2910.3100.2520.1230.1060.1730.136-0.003-0.026-0.0191.0000.1030.0140.034-0.044-0.114-0.116-0.066-0.082-0.060-0.120
total_cases0.1520.8400.6830.8640.7040.8320.6440.9010.6530.7830.6540.8550.7040.7500.3920.7700.1031.0000.7380.9670.7040.8250.4950.8590.5700.8630.664
total_cases_per_million0.2050.6100.7330.5470.7290.5660.7280.6290.8580.4540.5920.5630.7470.6050.6600.5640.0140.7381.0000.5950.9420.7020.7470.6030.7520.4910.723
total_deaths0.1760.8330.5430.8520.5730.7960.5270.8480.5120.7940.6440.8500.6240.6820.3010.7020.0340.9670.5951.0000.7010.7300.3860.8120.3720.8530.494
total_deaths_per_million0.2690.7320.6900.6730.6970.5370.6780.5850.7810.5270.6270.5720.7480.5520.5520.504-0.0440.7040.9420.7011.0000.6040.6240.6720.5940.7200.661
total_tests0.0740.5280.3060.6050.4010.6610.5270.6830.5420.4610.3440.5420.4320.9120.6380.932-0.1140.8250.7020.7300.6041.0000.7570.6600.2820.5510.623
total_tests_per_thousand0.1390.2210.3580.2010.3940.3350.5640.3480.6010.1420.3030.1940.3840.6450.9100.651-0.1160.4950.7470.3860.6240.7571.0000.2610.4900.4400.538
weekly_hosp_admissions1.0000.9650.8400.9550.8330.8840.5820.9380.6520.8760.6910.9460.7750.6320.0040.735-0.0660.8590.6030.8120.6720.6600.2611.0000.7280.9790.749
weekly_hosp_admissions_per_million1.0000.7310.9300.5680.8830.7110.8740.6920.9130.7080.8530.6580.8900.4640.3310.310-0.0820.5700.7520.3720.5940.2820.4900.7281.0000.6390.936
weekly_icu_admissions1.0000.9100.7220.9490.7620.8020.4200.8880.4890.8240.6270.9300.7170.737-0.2480.844-0.0600.8630.4910.8530.7200.5510.4400.9790.6391.0000.758
weekly_icu_admissions_per_million1.0000.6320.8550.6820.9070.7650.7630.7320.8220.7520.8290.6990.8940.5800.2510.540-0.1200.6640.7230.4940.6610.6230.5380.7490.9360.7581.000

Missing values

2025-02-08T12:43:33.241597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-02-08T12:43:33.407598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-02-08T12:43:33.717592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

iso_codecontinentlocationdatetotal_casesnew_casesnew_cases_smoothedtotal_deathsnew_deathsnew_deaths_smoothedtotal_cases_per_millionnew_cases_per_millionnew_cases_smoothed_per_milliontotal_deaths_per_millionnew_deaths_per_millionnew_deaths_smoothed_per_millionreproduction_rateicu_patientsicu_patients_per_millionhosp_patientshosp_patients_per_millionweekly_icu_admissionsweekly_icu_admissions_per_millionweekly_hosp_admissionsweekly_hosp_admissions_per_millionnew_teststotal_teststotal_tests_per_thousandnew_tests_per_thousandnew_tests_smoothed
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